As artificial intelligence (AI) reshapes the digital landscape, business leaders must confront a perennial -- but growing -- paradox: how to secure operations against increasingly sophisticated cyber threats while simultaneously enhancing customer and employee experiences to stay competitive. 

In a recent BizTechReports Vidcast, Stephanie Aceves, Senior Director of Product Management at Tanium, shared insights on the evolving cybersecurity landscape and the considerations decision-makers must prioritize to ensure their organizations remain secure, resilient, and competitive.

The integration of artificial intelligence (AI) and cloud computing into SAP’s enterprise resource planning (ERP) ecosystem is reshaping the business landscape, according to experts who participated in a recent CIO Online executive discussion held under Chatham House Rules. 

In the wake of that session, BizTechReports convened Don Mishory, Managing Partner at Storm Reply, and Jaydeep Rathore, Senior Innovation Architect at AWS, for a vidcast to explore the strategic, operational, financial, and technological implications of this transformation.

The intersection of artificial intelligence (AI) and healthcare holds immense promise, but achieving its full potential requires a careful balance of innovation, privacy, and regional inclusivity.

So says Julia Komissarchik, CEO of Glendor, in a recent BizTechReports vidcast in which she highlighted how her company is tackling some of the most pressing obstacles in the healthcare AI space: training AI models on sensitive medical data, addressing data silos, and ensuring diverse representation across regional healthcare datasets.

As businesses adapt to an increasingly fast-paced and complex environment, IT leaders are being called upon to play a more strategic role in driving transformation. At a recent virtual roundtable hosted by CIO Magazine and PwC, technology executives from finance, healthcare, manufacturing, retail, and other industries discussed how restructuring the relationship between business and IT can unlock greater value and enable continuous innovation.

Organizations must act now to prepare for the looming threats of quantum computing while leveraging generative AI to enhance cybersecurity and operational efficiency. This was the consensus among industry leaders during a CIO Magazine virtual roundtable co-hosted by Ben Corll of Zscaler. The discussion brought together executives from various sectors to examine the dual challenge of mitigating quantum risks while capitalizing on AI-driven opportunities.

In the field of neurology, AI holds immense potential to enhance diagnosis, identify triggers using digital biomarkers, and deliver tailored treatments for complex conditions like epilepsy and migraines.

Knowlepsy, a Marseille-based company is among the leaders leveraging AI and data-driven insights to address challenges in neurological care. In a recent BizTechReports vidcast interview, Knowlepsy’s CEO Firas Rhaiem and Chief Strategy Officer Ali-Frederic Ben-Amor discussed their company’s mission to enhance patient outcomes and optimize healthcare systems.

Industrial organizations seeking to harness AI in edge computing environments face challenges, including the need for real-time decision-making, high availability to prevent costly downtime, substantial compute capacity in constrained spaces, and clear strategies for effective deployment. Implemented effectively, edge AI can transform operations by directly enabling rapid, data-driven insights at the source, enhancing efficiency, predictive capabilities, and overall resilience in mission-critical environments.

So says John Chaves, Senior Director of Engineering at Stratus Technologies, a company honored with the 2024 Belden Innovation Award for its innovations in high-availability computing solutions.

Communications service providers (CSPs)—including cable operators, ISPs, and entertainment service providers—sit at the heart of the digital economy, delivering critical connectivity to millions of businesses and consumers. However, this position makes them prime targets for cyberattacks, with their interconnected networks and vast attack surfaces presenting significant vulnerabilities.

Adding to these challenges, CSPs often struggle to meet the stringent requirements needed to obtain comprehensive cyber insurance coverage. This dual threat of escalating cyber risks and limited insurability has left many in the sector vulnerable to both breaches and significant financial losses.

During a recent CIO.com virtual roundtable co-hosted with Tiago Azevedo, Chief Information Officer of OutSystems, technology leaders representing a broad swath of vertical industries -- from financial services and technology, to manufacturing and professional services -- gathered to explore how the integration of low-code and no-code platforms with AI governance may affect enterprise transformation strategies. The event highlighted the potential of Low-Code No-Code platforms to accelerate application development while ensuring governance and transparency.

During executive sessions at the CIO-100 summit in Colorado Springs, top enterprise technology leaders from across the country discussed the transformative impact of generative AI on technology modernization and business transformation. Key issues explored by executive roundtable and dinner discussions co-hosted by CIO.com and PwC, revolved around the impact that generative AI is having on creating business efficiencies while simultaneously  driving innovation. This, participating executives noted, is transforming the strategic role of CIOs as enterprises increasingly integrate emerging technologies like AI into their core functions and value-propositions.

A significant exposure related to the use of QR codes in two-factor authentication (2FA) processes has been identified and reported to the Internet Engineering Task Force (IETF) by researchers and analysts at Silent Sector (https://silentsector.com), a cybersecurity services company that specializes in providing tailored risk management solutions to mid-market and emerging companies across various industries, including healthcare, financial services, technology, manufacturing, and defense.